Understanding the Relationship Between Data Governance and Business Analytics Success: A Case Study of Global Corporations

Abstract

This study developed an understanding of the relationship between data governance and the success of business analytics in multinational firms. The study, through a mixed-methods analysis (qualitative and quantitative) based on the Structural Equation Model (SEM), has identified important aspects of data governance for the success of business analytics. The data for this study were obtained through a number of quantitative business surveys of data governance officials and surveys administered to 250 firms around the world. Critical data variables, including data quality control, policy enforcement, and the impact of data governance approaches, were measured and analyzed. The results through SEM analyses showed a positive association of data governance variables on the success of business analytics, with the regression coefficients of data quality management (β=0.42), compliance with policies (β=0.36), and the influence of data governance frameworks (β=0.49), marked with a significance of p<0.001. The quantitative data of the study's findings were also supported and complemented by the data of the critical themes derived from a deeper examination of the quantitative data of the study's findings obtained from an analysis of the qualitative themes of the study.